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» A l1-Unified Variational Framework for Image Restoration
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ICCV
2011
IEEE
13 years 9 months ago
Centralized Sparse Representation for Image Restoration
This paper proposes a novel sparse representation model called centralized sparse representation (CSR) for image restoration tasks. In order for faithful image reconstruction, it ...
Weisheng Dong, Lei Zhang, Guangming Shi
CVPR
2003
IEEE
15 years 11 months ago
Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications
1 We address the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing formalisms, we propose a unifying framework base...
David Tschumperlé, Rachid Deriche
ICIP
2005
IEEE
15 years 11 months ago
Approximations of posterior distributions in blind deconvolution using variational methods
In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed re...
Javier Mateos, Rafael Molina, Aggelos K. Katsaggel...
CVIU
2007
125views more  CVIU 2007»
14 years 9 months ago
Graph regularization for color image processing
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...
Olivier Lezoray, Abderrahim Elmoataz, Sébas...
ICIP
2009
IEEE
15 years 10 months ago
Multiframe Image Restoration In The Presence Of Noisy Blur Kernel
We wish to recover an original image u from several blurry-noisy versions fk, called frames. We assume a more severe degradation model, in which the image u has been blurred by a ...